Detection and Estimation of Adulteration in Oil Sample Using Digital Image Processing
Keywords:
Oil sample, adulteration, image processing, color model segmentation.Abstract
Now-a-days adulteration can cause several health and safety problem. Many techniques such as chromatographic and spectroscopic method have recently been employed to check the purity of oil. For most vegetable oil adulteration detection research methods, it remains difficult to popularize due to the fact that the application of experimental facility needs professional to operate; and it is usually expensive. Hence to solve this problem method is proposed. This project describes the development of an image processing algorithm, which can estimate the amount of adulteration oil sample from a captured photo. The algorithm is implemented into an application for modern smart phone where the user can measure the quality of a sample of oil only by taking photo of the sample. Then any other mixture of oil can be identified using the derived model and the methodology, which is based on color model based segmentation.
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